Game Theoretic Analysis of After-Sales Service in Two-Echelon Supply Chain with Warranty Sensitive Demand

Qi, Yuqing; Wu, Jing; Zhao, Tiandongjie; Sun, Yun; Wu, Bin

doi:10.1155/2020/2317246

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…An important finding based on study was that greater loss-aversion on part of the customer might weaken the supplier's bargaining power. Qi et al (2020) in the study related to after-sales contract between a manufacturer and a retailer devised a two-echelon contract wherein the quality aspect was reflected by product quality in presence of production of limited quantity by the manufacturer. An important finding of the study pertained to the fact that warranty length is inversely related to the product quality.…”

Section: Literature Reviewmentioning

confidence: 99%

Evolving a bi-objective optimization model for an after sales supply chain in presence of information asymmetry and service level requirement

Goswami

Daultani

Tripathi

2021

IJQRM

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PurposeOptimization of resources related to man, money, manpower and those related to organization is critical in context of after-sales supply chains. Many times, organizational objectives in terms of resource optimization and providing superior customer experience might be conflicting, however.Design/methodology/approachOne such instance is when customers expect near 100% service level in which case the organizational costs to meet such high service level goes up significantly. To this end, in this research a novel bi-objective optimization model has been evolved for a typical after-sales service supply chain network constituted of the manufacturer, the retailer and the customer. The first objective function pertains to maximization of the manufacturer's and the retailer's profit. The second objective function is related to the minimization of tardiness of order fulfilment (by the retailer) for the customer.FindingsEmploying a small problem instance, the authors generate a number of findings related to service level and information asymmetry. In particular, the authors observe that achieving best possible manufacturer-retailer profit and at the same time 100% service level is a mathematical impossibility. Furthermore, reducing information asymmetry between the customer and the retailer (as opposed to reducing information asymmetry between the retailer and the manufacturer) actually yields higher profits for the manufacturer-retailer pair.Originality/valueThis research describes the mathematical structure of a three-tier after-sales supply chain wherein information quality and service level requirements are key constraints. Furthermore, the study evolves the bi-objective optimization model as a formulation that can drive the operational decisions of manufacturers and retailers who are part of such after-sales service supply chains.

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Section: Literature Reviewmentioning

confidence: 99%

Evolving a bi-objective optimization model for an after sales supply chain in presence of information asymmetry and service level requirement

Goswami

Daultani

Tripathi

2021

IJQRM

View full text Add to dashboard Cite

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“…Some customers may search for company products based on their respective (ASS) (Khoo, 2020;Kato, 2021). The reason for (ASS)' support is that it can contribute to increasing brand loyalty and repeat sales (Qi et al, 2020). On the other hand, satis ed customers market the company's products to their friends that, in turn, provides the company with strong advertising for its products and helps to achieve more sales.Depending on their size and the quality of their products, some companies establish a separate department for (ASS).…”

mentioning

confidence: 99%

Using Multiple linear regression model to predict The Customers’ Purchase Decision based on After-Sales Services

Thalji

2022

Preprint

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The only link between the seller and the buyer is the information that available on the trading platforms about the products. All researchers in e-commerce agreed on the importance of providing information on products and services in e-commerce platforms to achieve customer satisfaction This paper aims to reveal how the availability of information on E-commerce platform about After-Sales Services can affect on customers’ purchase decisions. The study used descriptive research and the Kingdom of Saudi Arabia’s Dammam city as the study population. Also, it used the convenience random sampling approach to overcome bias in this research. The study covered all dimensions of After-Sales Services. 533 respondents completed the study questionnaire. The researcher used many statistical analyses tests before using deep learning. Furthermore, the study used hierarchical clustering and K-means to cluster consumers. The results show that respondents of this research can be clustered in three different groups based on behavior regarding demographic attributes. This study’s findings show that there is a positive relationship between the dimensions of and customers’ purchase decisions. the study presented several suggestions for platforms to keep their customers and make more profits.

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Empirical Analysis on Influencing Factors of Purchase Intention of NEVs

Bai¹

2021

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Game Theoretic Analysis of After-Sales Service in Two-Echelon Supply Chain with Warranty Sensitive Demand

Cited by 3 publications

References 33 publications

Evolving a bi-objective optimization model for an after sales supply chain in presence of information asymmetry and service level requirement

Evolving a bi-objective optimization model for an after sales supply chain in presence of information asymmetry and service level requirement

Using Multiple linear regression model to predict The Customers’ Purchase Decision based on After-Sales Services

Empirical Analysis on Influencing Factors of Purchase Intention of NEVs

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